Safety-Oriented Hybrid Perception Framework
Hybrid specialist-generalist perception framework for autonomous driving, focused on safety-critical corner cases and robust object detection.
Robotics Software Engineer · Computer Vision · Autonomous Systems
I build intelligent systems for autonomous machines.
I am Meryem Koç, a robotics software engineer working on multi-robot SLAM, autonomous driving perception, and warehouse robotics. My work connects AI models with real-world robotic systems.
Winner
SPADE Drone Challenge · Portugal
Top 10
BARN Challenge robotics benchmark
5+
Robotics, AI & autonomous systems competitions
MK
Meryem Koç
Robotics Software Engineer
ROS2
SLAM
Computer Vision
Autonomous Driving
AMR
Python
C++
Gazebo
Featured Work
Selected engineering & research projects
A focused portfolio across robotics, autonomous systems, computer vision, embedded control, and applied AI.
Multi-Robot SLAM & Map Merging
ROS2-based multi-robot mapping pipeline with coordinated exploration, map merging, simulation, and coverage evaluation.
Deptron AMR Warehouse Robotics
Autonomous mobile robot concept for warehouse logistics with modularity, peer-to-peer task allocation, and industrial deployment focus.
Achievements
Competition-tested robotics, AI, and autonomous systems work
Selected international and national competition experiences across drone systems, robot navigation, software-defined vehicles, AI applications, and embedded robotics.
Winner
SPADE Drone Challenge
Winner of the SPADE Drone Challenge within the SPADE EU Project with Eclipse Foundation, focused on SLAM-based autonomous drone navigation at ShiftAppens, Portugal.
Drone Systems · SLAM · Autonomous NavigationTop 10
BARN Challenge
Ranked in the Top 10 in a robotics navigation benchmark focused on robust motion planning in obstacle-dense environments.
Navigation · Motion Planning · RoboticsFinalist
RoboCup German Open
Finalist experience in an international robotics competition, working on autonomous robotics systems and real-world integration.
Robotics · Autonomous SystemsFinalist
Meta Llama Hackathon
Finalist in an AI-focused hackathon, developing applied solutions around large language models and intelligent software systems.
AI · LLMs · Applied SoftwareFinalist
Teknofest
Finalist-level experience across robotics, autonomous systems, embedded development, and applied engineering competitions.
Robotics · Embedded Systems · AutonomyFinalist
Eclipse SDV Hackathon Berlin
International software-defined vehicle hackathon experience focused on automotive software, SDV technologies, and collaborative prototyping.
SDV · Automotive Software · EclipseMultiple Runs
Teknofest Experiences
Multiple Teknofest competition cycles with hands-on experience in team leadership, robotics development, prototyping, and field testing.
Team Leadership · Robotics · PrototypingPortfolio
Autonomous Systems Work
A growing portfolio combining robotics competitions, academic research, autonomous perception, SLAM, and real-world engineering projects.
Research · Engineering · RoboticsResearch Focus
Robotics, perception, and autonomous systems
My current work focuses on intelligent robotic systems that can perceive, navigate, map, and operate in real-world environments.
Autonomous Systems
Navigation, perception, decision-making, and software integration for robotic and intelligent mobility systems.
Collaborative Mapping
Multi-robot SLAM, map merging, exploration strategies, and evaluation metrics for distributed robotic systems.
Applied Computer Vision
Object detection, safety-oriented perception, model evaluation, and corner case analysis for autonomous driving.
Contact
Let’s build autonomous systems.
I am interested in robotics research, PhD opportunities, autonomous systems, computer vision, and international engineering collaborations.